Full Citation
Title: The linkage of micro census data and vital records
Citation Type: Conference Paper
Publication Year: 2015
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Abstract: We recently completed the development of a linkage program to match microdata from the Canadian censuses to those from Quebec civil records found in the BALSAC population database. Procedures underlying this software are modeled on the basic principles used at BALSAC for the linkage of civil records. Several adjustments have been made however to take into account differences in the structures of the two types of data. Ongoing work covers three Quebec regions and two cities for seven modern nominal censuses (1852 to 1911). In this paper, we describe the program and analyse the results of linkage operations performed in the Saguenay region and the city of Trois-Rivières. In order to provide a critical assessment of these results, we investigate household and individual characteristics that could impact on linkage rates. We also illustrate the potential of the program by comparing linkage results among men and women. Lastly, we discuss the possibilities and limits involved in our approach The linkage program is at the heart of the construction of the Integrated Infrastructure of the Quebec Population Historical Microdata which will integrate all available historical microdata on the Quebec population, dating back to the beginning of European settlement, into a set of relational databases. The interconnection between civil records and the censuses, along with linkages across the censuses themselves, will substantially broaden and enrich the avenues of research in both the social and the biological sciences. Once linkage is completed, it will be possible to carry out studies based on individual trajectories within families, households and communities from intra- and inter-generational perspectives.
Url: https://balsac.ca/documents/linkage-1852-1911-Vezina-et-al.pdf
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Authors: Vézina, Hélène; St-Hilaire, Marc; Bournival, Jean-Sébastien
Conference Name: 40th Annual meeting of the Social Science History Association
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Data Collections: IPUMS NHGIS
Topics: Other, Population Data Science
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